gms | German Medical Science

11. Jahrestagung 2004 der GAA

Gesellschaft für Arzneimittelforschung und Arzneimittelepidemiologie

30.09. bis 01.10.2004, Jena

Routine analysis of secondary data for monitoring prescription quality

Meeting Abstract

  • corresponding author presenting/speaker U. Maywald - Institute of Clinical Pharmacology, Medical Faculty "Carl Gustav Carus", Dresden University of Technology
  • D. Meusel - Institute of Clinical Pharmacology, Medical Faculty "Carl Gustav Carus", Dresden University of Technology
  • I. Hach - Institute of Clinical Pharmacology, Medical Faculty "Carl Gustav Carus", Dresden University of Technology
  • W. Böcking - Institute of Clinical Pharmacology, Medical Faculty "Carl Gustav Carus", Dresden University of Technology
  • W. Kirch - Institute of Clinical Pharmacology, Medical Faculty "Carl Gustav Carus", Dresden University of Technology

Gesellschaft für Arzneimittelanwendungsforschung und Arzneimittelepidemiologie (GAA) e.V.. 11. Jahrestagung der Gesellschaft für Arzneimittelforschung und Arzneimittelepidemiologie (GAA) e.V.. Jena, 30.09.-01.10.2004. Düsseldorf, Köln: German Medical Science; 2004. Doc04gaa23

Die elektronische Version dieses Artikels ist vollständig und ist verfügbar unter: http://www.egms.de/de/meetings/gaa2004/04gaa23.shtml

Veröffentlicht: 30. September 2004

© 2004 Maywald et al.
Dieser Artikel ist ein Open Access-Artikel und steht unter den Creative Commons Lizenzbedingungen (http://creativecommons.org/licenses/by-nc-nd/3.0/deed.de). Er darf vervielf&aauml;ltigt, verbreitet und &oauml;ffentlich zug&aauml;nglich gemacht werden, vorausgesetzt dass Autor und Quelle genannt werden.


Gliederung

Text

Context

Inappropriate use of drugs is common in ambulatory and hospital practice. A consequence of ignoring contra-indications and possible interactions are unnecessary costs. Electronic checking of routine therapy and treatment data is a promising way to identify these problems and a prerequisite of early intervention.

Aim of Study

The study explores the drug use before, during and three month after a hospital stay regarding indication, relative and absolute contra-indications and drug-drug interactions. An electronic analysis tool was used.

Material and Method

We analysed the medication and diagnosis data of 299 patients admitted between 2000 and 2001 to the surgical department of a hospital. Medication and case history as well as changes in the admission medication during the stay were documented per patient in a relational database. The analysis uses the standardized Structured Query Language. Implementation of the routines in the analysis of large routine datasets of the health insurances is possible, if linked prescription and diagnosis data is available.

Results

On average, patients were 72.5 years old and took 3.6 (±2.15), 5(±2.4) and 3.8(±3.1) drugs simultaneously before, during and after the hospital stay. Inappropriate drug use regarding approved age was found in 11.7% of the patients. Mainly affected drugs were digitalis glycosides, weak opioids and sexual steroids. Absolute contra-indications were found in 63 patients (21.9%), relative in 122 (40.5%). A total of 777 described drug interactions was found in this sample of patients. 59 potential serious drug interactions were identified in 51 patients (16.9%). The daily therapy costs (based on the DDD) were, on average, at 2.54€, 8.12€ and 2.89€, respectively.

Conclusion

Electronic routine data is suitable for identifying age related off-label-use as well as drug interactions. If diagnosis information is available, also relative and absolute contra-indications can be investigated. The presented method is suitable for routinely analysis of prescription data, especially if diagnosis and prescription data are linked as required in the future by the German law (GMG).

Conflicts of interest: None

Sponsors: None